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Prof. Ahmed Abouelyazed Elsawy Ali :: Publications:

Title:
Effective TDMA scheduling for tree-based data collection using genetic algorithm in wireless sensor networks
Authors: Walid Osamy, Ahmed A El-Sawy, Ahmed M Khedr
Year: 2021
Keywords: Not Available
Journal: Peer-to-Peer Networking and Applications
Volume: 13
Issue: 3
Pages: 796-815
Publisher: Springer US
Local/International: International
Paper Link:
Full paper Not Available
Supplementary materials Not Available
Abstract:

Data collection is a major operation in Wireless Sensor Networks (WSNs) and minimizing the delay in transmitting the collected data is critical for a lot of applications where specific actions depend on the required deadline, such as event-based mission-critical applications. Scheduling algorithms such as Time Division Multiple Access (TDMA) are extensively used for data delivery with the aim of minimizing the time duration for transporting data to the sink. To minimize the average latency and the average normalized latency in TDMA, we propose a new efficient scheduling algorithm (ETDMA-GA) based on Genetic Algorithm(GA). ETDMA-GA minimizes the latency of communication where two dimensional encoding representations are designed to allocate slots and minimizes the total network latency using a proposed fitness function.

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